MétaCan
Menu
Cohort builder

4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Intensive Care Medicine
Topic
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,011 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,011 works in the cohort · of 4,299,418page 4 of 21

Labels cover 0 of 1,011 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 1,011 of 1,011 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Hypothermia in the management of traumatic brain injury
William R. Henderson, Vinay Dhingra, Dean R. Chittock, John C. Fenwick, Juan J. Ronco
2003· review· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
180
citations
affno abstractunlabeled
Source control in the management of sepsis
Maria Jimenez, John C. Marshall
2001· review· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
179
citations
affno abstractunlabeled
Recommendations for intensive care unit and hospital preparations for an influenza epidemic or mass disaster: summary report of the European Society of Intensive Care Medicine’s Task Force for intensive care unit triage during an influenza epidemic or mass disaster
Charles L. Sprung, Janice L. Zimmerman, Gavin M. Joynt, John L. Hick, Bruce Taylor, Guy A. Richards +3 more
2010· review· en· Intensive Care Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
166
citations
affno abstractunlabeled
A global perspective on vasoactive agents in shock
Djillali Annane, Lamia Ouanes-Besbes, Daniel De Backer, Bin Du, Anthony Gordon, Glenn Hernández +5 more
2018· review· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
143
citations
affno abstractunlabeled
Plasma exchange in the intensive care unit: a narrative review
Philippe R. Bauer, Marlies Ostermann, Lene Russell, Chiara Robba, Sascha David, Bruno L. Ferreyro +95 more
2022· review· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
134
citations
affno abstractunlabeled
Outcome of older patients receiving mechanical ventilation
Antonio Anzueto, Fernando Frutos–Vivar, Inmaculada Alía, E. Wesley Ely, Laurent Brochard, Thomas E. Stewart +6 more
2004· article· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
130
citations
affno abstractunlabeled
The ICM research agenda on extracorporeal life support
Alain Combes, D. Brodie, Yih‐Sharng Chen, Eddy Fan, Josè P.S. Henriques, Carol Hodgson +12 more
2017· review· en· Intensive Care Medicine· Engineering
machine prediction:candidate · noneconsensus · none
129
citations
affno abstractunlabeled
The intensive care medicine agenda on acute kidney injury
Peter Pickkers, Marlies Ostermann, Michael Joannidis, Alexander Zarbock, Eric A. J. Hoste, Rinaldo Bellomo +6 more
2017· review· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
128
citations
affno abstractunlabeled
Organ donation in adults: a critical care perspective
Giuseppe Citerio, Marcelo Cypel, Geoff Dobb, Beatriz Domínguez‐Gil, Jennifer Frontera, David M. Greer +5 more
2016· review· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
126
citations
affno abstractunlabeled
Urinary biomarkers in septic acute kidney injury
Sean M. Bagshaw, Christoph Langenberg, Michael Haase, Li Wan, Clive N. May, Rinaldo Bellomo
2007· review· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
123
citations
affunlabeled
Soluble ST2 plasma concentrations predict mortality in severe sepsis
Jacobien J. Hoogerwerf, Michael W.T. Tanck, Marieke A. D. van Zoelen, Xavier Wittebole, Pierre‐François Laterre, Tom van der Poll
2010· article· en· Intensive Care Medicine· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
123
citations

How this was built: Screen · Findings · About